Fusion processing method based on multi-source heterogeneous data
The invention provides a fusion processing method based on multi-source heterogeneous data, and the method comprises the steps: building a business-based data space-time uncertainty and multi-dimensional relevance description method according to the technical characteristics, application demands and...
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| creator | WANG YAO LI XIAOBIN SHAO JINGJING SONG YUNKUI XIAO ZHANHUI SHEN YUHONG HUANG ZHUOHENG LI WENJUN |
| description | The invention provides a fusion processing method based on multi-source heterogeneous data, and the method comprises the steps: building a business-based data space-time uncertainty and multi-dimensional relevance description method according to the technical characteristics, application demands and power space-time characteristics of power big data; based on a multi-source heterogeneous data cleaning method and a fusion mechanism, a practical organization scheme of power big data is established and is used for realizing a customer demand-oriented data unified expression and optimization method; and establishing dynamic distributed storage adapting to the time-space attributes of the data. And the data reading efficiency is improved.
本发明提供的一种基于多源异构数据的融合处理方法，所述融合处理方法包括：根据电力大数据技术特性、应用需求和电力时空特性，建立基于业务的数据时空不确定性与多维关联性描述方法；基于多源异构数据清洁方法、融合机制，建立电力大数据的实用化的组织方案，用于实现以客户需求为导向的数据统一表达和优化方法；建立适应数据时空属性动态化的分布存储。提高数据的读取效率。 |
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本发明提供的一种基于多源异构数据的融合处理方法，所述融合处理方法包括：根据电力大数据技术特性、应用需求和电力时空特性，建立基于业务的数据时空不确定性与多维关联性描述方法；基于多源异构数据清洁方法、融合机制，建立电力大数据的实用化的组织方案，用于实现以客户需求为导向的数据统一表达和优化方法；建立适应数据时空属性动态化的分布存储。提高数据的读取效率。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221230&DB=EPODOC&CC=CN&NR=115543989A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76294</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221230&DB=EPODOC&CC=CN&NR=115543989A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG YAO</creatorcontrib><creatorcontrib>LI XIAOBIN</creatorcontrib><creatorcontrib>SHAO JINGJING</creatorcontrib><creatorcontrib>SONG YUNKUI</creatorcontrib><creatorcontrib>XIAO ZHANHUI</creatorcontrib><creatorcontrib>SHEN YUHONG</creatorcontrib><creatorcontrib>HUANG ZHUOHENG</creatorcontrib><creatorcontrib>LI WENJUN</creatorcontrib><title>Fusion processing method based on multi-source heterogeneous data</title><description>The invention provides a fusion processing method based on multi-source heterogeneous data, and the method comprises the steps: building a business-based data space-time uncertainty and multi-dimensional relevance description method according to the technical characteristics, application demands and power space-time characteristics of power big data; based on a multi-source heterogeneous data cleaning method and a fusion mechanism, a practical organization scheme of power big data is established and is used for realizing a customer demand-oriented data unified expression and optimization method; and establishing dynamic distributed storage adapting to the time-space attributes of the data. And the data reading efficiency is improved.
本发明提供的一种基于多源异构数据的融合处理方法，所述融合处理方法包括：根据电力大数据技术特性、应用需求和电力时空特性，建立基于业务的数据时空不确定性与多维关联性描述方法；基于多源异构数据清洁方法、融合机制，建立电力大数据的实用化的组织方案，用于实现以客户需求为导向的数据统一表达和优化方法；建立适应数据时空属性动态化的分布存储。提高数据的读取效率。</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHB0Ky3OzM9TKCjKT04tLs7MS1fITS3JyE9RSEosTk1RAErlluaUZOoW55cWJacqZKSWpBblp6fmpeaXFiukJJYk8jCwpiXmFKfyQmluBkU31xBnD93Ugvz41OKCxGSg4pJ4Zz9DQ1NTE2NLC0tHY2LUAAA50TIw</recordid><startdate>20221230</startdate><enddate>20221230</enddate><creator>WANG YAO</creator><creator>LI XIAOBIN</creator><creator>SHAO JINGJING</creator><creator>SONG YUNKUI</creator><creator>XIAO ZHANHUI</creator><creator>SHEN YUHONG</creator><creator>HUANG ZHUOHENG</creator><creator>LI WENJUN</creator><scope>EVB</scope></search><sort><creationdate>20221230</creationdate><title>Fusion processing method based on multi-source heterogeneous data</title><author>WANG YAO ; LI XIAOBIN ; SHAO JINGJING ; SONG YUNKUI ; XIAO ZHANHUI ; SHEN YUHONG ; HUANG ZHUOHENG ; LI WENJUN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115543989A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>WANG YAO</creatorcontrib><creatorcontrib>LI XIAOBIN</creatorcontrib><creatorcontrib>SHAO JINGJING</creatorcontrib><creatorcontrib>SONG YUNKUI</creatorcontrib><creatorcontrib>XIAO ZHANHUI</creatorcontrib><creatorcontrib>SHEN YUHONG</creatorcontrib><creatorcontrib>HUANG ZHUOHENG</creatorcontrib><creatorcontrib>LI WENJUN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WANG YAO</au><au>LI XIAOBIN</au><au>SHAO JINGJING</au><au>SONG YUNKUI</au><au>XIAO ZHANHUI</au><au>SHEN YUHONG</au><au>HUANG ZHUOHENG</au><au>LI WENJUN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Fusion processing method based on multi-source heterogeneous data</title><date>2022-12-30</date><risdate>2022</risdate><abstract>The invention provides a fusion processing method based on multi-source heterogeneous data, and the method comprises the steps: building a business-based data space-time uncertainty and multi-dimensional relevance description method according to the technical characteristics, application demands and power space-time characteristics of power big data; based on a multi-source heterogeneous data cleaning method and a fusion mechanism, a practical organization scheme of power big data is established and is used for realizing a customer demand-oriented data unified expression and optimization method; and establishing dynamic distributed storage adapting to the time-space attributes of the data. And the data reading efficiency is improved.
本发明提供的一种基于多源异构数据的融合处理方法，所述融合处理方法包括：根据电力大数据技术特性、应用需求和电力时空特性，建立基于业务的数据时空不确定性与多维关联性描述方法；基于多源异构数据清洁方法、融合机制，建立电力大数据的实用化的组织方案，用于实现以客户需求为导向的数据统一表达和优化方法；建立适应数据时空属性动态化的分布存储。提高数据的读取效率。</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Fusion processing method based on multi-source heterogeneous data |
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